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Table 1 Regression algorithms comparison for \(\theta _{TI}\), one-step regression approach

From: Regressing grasping using force myography: an exploratory study

  \(R^2\) \(RMSE\%\) Training time (min) Estimated prediction time (ms) for each sample point
LR 0.6945 ± 0.07 14.59 ± 1.71 0.011 ± 0.012 0.0006
SVR 0.8680 ± 0.03 9.55 ± 1.07 6.172 ± 0.946 1.097
NNR 0.8129 ± 0.06 11.29 ± 1.51 72.925 ± 7.40 3.730
RF 0.8718 ± 0.03 9.40 ± 1.05 1.487 ± 0.14 0.076